The above figure shows the number of fathers that attended each educational session by community. The figure shows that all communities had between 6 and 9 fathers present at the first session and that attendance rates varied greatly as the program continued. The highest session attendance was 10 fathers, while the lowest attendance was 0.
Table 1 shows the results of fitting a logistic regression model of fathers’ attendance by two different variables: the type of job they work and their interest level in the program at baseline. The data shows that none of the variables are statistically significantly associated with attendance at educational sessions. All job types and interest levels had a p-value greater than 0.05 when compared to their respective intercepts (job type had an intercept of “other”, interest level had an intercept of “interested”).
Project Purpose: This project analyzed attendance trends of fathers in a parenting program designed to improve early childhood development outcomes in Mwanza, Tanzania. This project aimed to answer the following questions: 1. What factors predict (or are associated with) fathers’ attendance at early childhood development educational sessions? 2. How did father attendance rates change over time in different communities?
Dataset Description: The data presented in this dashboard are confidential, as related publications are still in development. The data was collected from June to November 2024 from 62 fathers participating in a parenting program across six communities in Mwanza, Tanzania. Data sources include a baseline survey capturing sociodemographic information and attendance forms documenting father participation at each educational session (15 sessions total).
Real-World Impact: This dashboard will be used to help inform the development of a future parenting program in Mwanza, Tanzania. Additionally, it is helpful in showing that the type of job fathers work and their baseline interest level in the program did not significantly impact their attendance at sessions, guiding future research.
Link to Repository: The link to the GitHub Repository associated with this dashboard is: https://github.com/mloutti/DATA555_Final_Project